In-House Counsel – Mass Torts & Class Actions (Legal-Tech Client)

Our client is a profitable and fast-scaling legal-tech startup that uses AI and quant-style web scraping to identify mass-tort and class-action opportunities months ahead of the market. Their team combines legally trained professionals, data scientists, and engineers with one goal: to build the first AI-native referral law firm for complex litigation. Led by a Cambridge Law graduate, the company seeks an experienced plaintiffs' attorney to lead early-stage case assessment and strategy in collaboration with an elite cross-functional team. Key Responsibilities • Turn recalls, complaints, and regulatory filings into actionable case screening rules • Draft and maintain the Case Assessment Framework (elements, causation, scienter, damages) • Analyze statutes, standing, venue, class viability, and limitations for flagged opportunities • Review and improve AI-generated assessment memos and deliver go/no-go case briefs • Track emerging consumer-product litigation trends and brief internal stakeholders Ideal Candidate Profile • 5+ years of experience evaluating consumer-product mass torts or class actions (plaintiff-side) • Proven ability to spot viable litigation opportunities early • Strong legal research and drafting skills • Working knowledge of FDA, CPSC, FTC, and state consumer-protection laws • Clear, concise communicator who works well with data and product teams Additional Qualifications • Interest in legal-tech, startups, or litigation finance • Experience leading or coordinating class action teams • Familiarity with AI/ML or e-discovery projects Structure & Collaboration This role reports to the CEO and Product Lead and works closely with internal engineers, data scientists, and external co-counsel. Compensation: $100+/hour, commensurate with experience Apply tot his job Apply To this Job